Results 111 to 120 of about 958,747 (333)

Modera techniques of trend analysis and interpolation

Annals of Geophysics, 1975
This article contains a schematic exposition of t h e theoretical framework on which recent techniques of trend analysis and interpolation rest. I t is shown t h a t such techniques consist in the joint application of Analysis of the ...
L. TORELLI
doaj   +1 more source

Multivariate interpolation of large sets of scattered data [PDF]

, 1988
Robert J. Renka
openalex   +1 more source

An investigation of the price discovery role of futures markets: A dynamic time warping analysis of the United States corn markets

Agribusiness, EarlyView.
Abstract Futures markets are critical to price discovery and often dominate spot markets. We analyze the linkages between daily corn futures and spot prices in the United States using dynamic time warping. This nonparametric pattern recognition technique has several advantages over traditional time series methods.
Dragan Miljkovic, Puneet Vatsa, Frayne Olson   +2 more
wiley   +1 more source

Long‐Term Nutritional Benefits of Laparoscopic Pancreatoduodenectomy Over Open Surgery

Annals of Gastroenterological Surgery, EarlyView.
Minimally invasive laparoscopic pancreaticoduodenectomy (LPD) significantly improves long‐term nutritional outcomes compared to open pancreaticoduodenectomy (OPD). LPD patients demonstrated better preservation of muscle mass index (PMI) and a lower incidence of postoperative fatty liver.
Koki Kurahashi, Takayuki Anazawa, Kei Yamane, Kazuyuki Nagai, Satoshi Ishida, Satoshi Ogiso, Yoichiro Uchida, Takashi Ito, Takamichi Ishii, Etsuro Hatano   +9 more
wiley   +1 more source

Immediate Reconstruction of Pancretaticogastrostomy Following Hepatopancreatoduodenectomy for Biliary Tact Cancer: A Single‐Center Review of 33 Consecutive Patients

Annals of Gastroenterological Surgery, EarlyView.
This study showed that the pancreaticogastrostomy technique in HPD of biliary tract cancer reduced the incidence of pancreatic fistula from 45% to 12%. In‐hospital mortality was also reduced from 27% to 3%. ABSTRACT Background and Purpose Although hepatopancreaticoduodenectomy (HPD) is effective for margin‐negative curative resection of biliary tract ...
Ryusei Matsuyama, Yasuhiro Yabusita, Tomoaki Takahashi, Yutaro Kikuchi, Kouta Sahara, Kentaro Miyake, Yu Sawada, Yuuki Homma, Takafumi Kumamoto, Itaru Endo   +9 more
wiley   +1 more source

Multivariate spline functions, B-spline bases and polynomial interpolations II [PDF]

, 1984
Hakop Hakopian
openalex   +1 more source

Modeling heterogeneity in large‐scale bioreactors using the method of moments with a truncated normal distribution

AIChE Journal, EarlyView.
ABSTRACT Large‐scale bioreactors in industrial bioprocesses pose challenges due to extracellular concentration gradients and intracellular heterogeneity. This study introduces a novel approach integrating the method of moments with truncated normal distributions (MM‐TND) to model intracellular heterogeneity while maintaining computational feasibility ...
Ittisak Promma, Marc G. Aucoin, Nasser Mohieddin Abukhdeir, Hector Budman   +3 more
wiley   +1 more source

Improving Coffee Yield Interpolation in the Presence of Outliers Using Multivariate Geostatistics and Satellite Data

AgriEngineering
Precision agriculture for coffee production requires spatial knowledge of crop yield. However, difficulties in implementation lie in low-sampled areas. In addition, the asynchronicity of this crop adds complexity to the modeling.
César de Oliveira Ferreira Silva, Celia Regina Grego, Rodrigo Lilla Manzione, Stanley Robson de Medeiros Oliveira   +3 more
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Accelerating Surface Composition Characterization of Thin‐Film Materials Libraries Using Multi‐Output Gaussian Process Regression

Advanced Intelligent Discovery, EarlyView.
To integrate surface analysis into materials discovery workflows, Gaussian process regression is used to accurately predict surface compositions from rapidly acquired volume composition data (obtained by energy‐dispersive X‐ray spectroscopy), drastically reducing the number of required surface measurements on thin‐film materials libraries.
Felix Thelen, Florian Lourens, Alfred Ludwig   +2 more
wiley   +1 more source